Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
Probing the Origins of Reasoning Performance: Representational Quality for Mathematical Problem-Solving in RL vs. SFT Fine-Tuned Models
arXiv:2607.26119v1 Announce Type: new Abstract: Large reasoning models trained via reinforcement learning (RL) have been increasingly shown to outperform their…
Knowledge-Guided Multimodal Reasoning over Interacting Streams for Video-Level Ambivalence and Hesitancy Recognition
arXiv:2607.25961v2 Announce Type: replace-cross Abstract: Ambivalence and hesitancy (A/H) are conflicting affective states that precede the delay or abandonment of…
BayesAME: Bayesian Active Model Evaluation
arXiv:2607.27023v1 Announce Type: cross Abstract: Evaluating large generative models across benchmarks is time-consuming and computationally expensive. This drives the need…
SymmGrid: Super-Scaling On-Robot Learning with Parallelized Symmetries and Egocentric-Exocentric Visual Perception
arXiv:2607.26985v1 Announce Type: cross Abstract: Deep reinforcement policy learning directly in physical robots (on-robot learning) remains bottlenecked by slow wall-clock…
Tools Are Not Islands: Set-Level Tool Retrieval for LLM Agents via Query-Conditioned Hyperedge Prediction
arXiv:2607.25718v2 Announce Type: replace-cross Abstract: Large language model (LLM) agents increasingly rely on invoking external tools to complete real-world tasks.…
Untrusted Authors, Trusted Answers: A Calculus of Fidelity-Graded Translations
arXiv:2607.14137v2 Announce Type: cross Abstract: To answer a question about a program, move the program to where the question is…
Do Models Fake Alignment Without Clear Consequences?
arXiv:2607.24758v2 Announce Type: new Abstract: Large language models are capable of recognizing evaluation contexts and altering their behavior to reflect…
Why Public Service AI Governance Frameworks Risk Failing in the Age of General-Purpose AI: Lessons from Policing
arXiv:2607.25648v1 Announce Type: cross Abstract: Public services face growing pressure to adopt artificial intelligence (AI) to close the gap between…
OmniPhys: Knowledge-Graph-Driven Benchmarking and Collective Optimization for Physical Commonsense in Text-to-Image Generation
arXiv:2607.25641v1 Announce Type: cross Abstract: While text-to-image models exhibit remarkable visual fidelity, they frequently violate fundamental physical commonsense. Existing benchmarks…
